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clusterfly (version 0.4)

Explore clustering interactively using R and GGobi

Description

Visualise clustering algorithms with GGobi. Contains both general code for visualising clustering results and specific visualisations for model-based, hierarchical and SOM clustering.

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Version

Install

install.packages('clusterfly')

Monthly Downloads

55

Version

0.4

License

MIT + file LICENSE

Maintainer

Hadley Wickham

Last Published

April 24th, 2014

Functions in clusterfly (0.4)

cfly_animate

Dynamic plot: Animate glyph colours
cfly_clarify

Match all cluster indices to common reference.
mefly

Display model based clustering with mvn ellipses. Displays the results of model based clustering with an ellipse drawn from the multivariate normal model for each group.
clarify

Clarify matrix Clarify matrix ordering to minimize off diagonals
as.data.frame.clusterfly

Convert clusterfly object to data.frame. Concatenates data and cluster assignments into one data.frame. Cluster assignments are prefixed with cl_.
cfly_dist

Static plot: Variable distribution. Draw a density plot for each continuous variable, facetted across clustering.
clusterfly

Creates a convenient data structure for dealing with a dataset and a number of alternative clusterings.
olive_example

Example clusterfly object created with olives data
cfly_pcp

Static plot: Parallel coordinates. Draw a parallel coordinates plot, facetted across clustering.
hierfly

Visualisig hierarchical clustering. This method supplements a data set with information needed to draw a dendrogram
cfly_fluct

Static plot: Fluctuation diagram. Draw a fluctuation diagram comparing two clusterings.
hierarchical

Hierachical clustering Convenient methods for hierachical clustering
clusters

Extract clusters from clustering object.
cfly_cluster

Add clustering.
addhull

Add convex hulls Add conver hulls using the tool qconvex
ggobi.hierfly

Visualise hierarchical clustering with GGobi. Displays both data and dendrogram in original high-d space.
cfly_show

Show in ggobi. Opens an instance ggobi for this dataset (if not already open), and colours the points according the cluster assignment.
ellipse

Create multivariate ellipse. Randomly sample points from a probability contour of a multivariate normal.
ggobi.som

Visualise Kohonen self organising maps with GGobi Displays both data, and map in original high-d space.
cut.hierfly

Cut hierfly object into k clusters/colours.